6 research outputs found

    Inventory ordering policies for mixed sale of products under inspection policy, multiple prepayment, partial trade credit, payments linked to order quantity and full backordering

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    The situation where serviceable products are sold together with a proportion of deteriorating products to consumers is rarely discussed in the literature. This article proposes an inventory model with disparate inventory ordering policies under a situation where a portion of serviceable products and a portion of deteriorating products are sold together to consumers (i.e. mixed sales). The ordering policies consider a hybrid payment strategy with multiple prepayment and partial trade credit schemes linked to order quantity under situations where no inventory shortage is allowed and inventory shortage is allowed with full backorder. The hybrid payment policy offered by a supplier is introduced into the classical economic ordering quantity model to investigate the optimal inventory cycle and the fraction of demand that is filled from the deteriorating products under inspection policy. Further, a new solution method is proposed that identifies optimal annual total profit with mixed sales assuming no inventory shortage and inventory shortage with full backorder. The impact of an inspection policy is investigated on the optimality of the solution under hybrid payment strategies for the deteriorating products. The validation of the proposed model and its solution method is demonstrated through several numerical examples. The results indicate that the inventory model along with the solution method provide a powerful tool to the retail managers under real-world situations. Results demonstrate that it is essential for the managers to consider inclusion of an inspection policy in the mixed sales of products, as the inspection policy significantly increases the net annual profit

    Modelling and Determining Inventory Decisions for Improved Sustainability in Perishable Food Supply Chains

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    Since the introduction of sustainable development, industries have witnessed significant sustainability challenges. Literature shows that the food industry is concerned about its need for efficient and effective management practices in dealing with perishability and the requirements for conditioned storage and transport of food products that effect the environment. Hence, the environmental part of sustainability demonstrates its significance in this industrial sector. Despite this, there has been little research into environmentally sustainable inventory management of deteriorating items. This thesis presents mathematical modelling based research for production inventory systems in perishable food supply chains. In this study, multi-objective mixed-integer linear programming models are developed to determine economically and environmentally optimal production and inventory decisions for a two-echelon supply chain. The supply chain consists of single sourcing suppliers for raw materials and a producer who operates under a make-to-stock or make-to-order strategy. The demand facing the producer is non-stationary stochastic in nature and has requirements in terms of service level and the remaining shelf life of the marketed products. Using data from the literature, numerical examples are given in order to test and analyse these models. The computational experiments show that operational adjustments in cases where emission and cost parameters were not strongly correlated with supply chain collaboration (where suppliers and a producer operate under centralised control), emissions are effectively reduced without a significant increase in cost. The findings show that assigning a high disposal cost, limit or high weight of importance to perished goods leads to appropriate reduction of expected waste in the supply chain with no major cost increase. The research has made contributions to the literature on sustainable production and inventory management; providing formal models that can be used as an aid to understanding and as a tool for planning and improving sustainable production and inventory control in supply chains involving deteriorating items, in particular with perishable food supply chains.the Ministry of Science and Technology, the Royal Thai Government

    Mathematical Methods and Operation Research in Logistics, Project Planning, and Scheduling

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    In the last decade, the Industrial Revolution 4.0 brought flexible supply chains and flexible design projects to the forefront. Nevertheless, the recent pandemic, the accompanying economic problems, and the resulting supply problems have further increased the role of logistics and supply chains. Therefore, planning and scheduling procedures that can respond flexibly to changed circumstances have become more valuable both in logistics and projects. There are already several competing criteria of project and logistic process planning and scheduling that need to be reconciled. At the same time, the COVID-19 pandemic has shown that even more emphasis needs to be placed on taking potential risks into account. Flexibility and resilience are emphasized in all decision-making processes, including the scheduling of logistic processes, activities, and projects

    Accountants\u27 index. Twenty-fourth supplement, January-December 1975

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    https://egrove.olemiss.edu/aicpa_accind/1026/thumbnail.jp

    Accountants\u27 index. Thirty-second supplement, January-December 1983, volume 2: M-Z

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    https://egrove.olemiss.edu/aicpa_accind/1042/thumbnail.jp

    Efecto de la gesti贸n del 谩rea de cr茅ditos en la estructura de capital de empresa de seguridad de Lima Metropolitana-2022

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    La intenci贸n investigativa estuvo enfocada en determinar el efecto de la gesti贸n del 谩rea de cr茅ditos en la estructura del capital de la empresa en seguridad; para ello se traz贸 un enmarque metodol贸gico caracterizado por una tipolog铆a b谩sica/cuantitativa/correlacional-causal, y un dise帽o no experimental con recolecta de datos en un solo per铆odo. Se emplearon dos cuestionarios, uno por variable a un total de 163 trabajadores de la empresa de seguridad, la confiabilidad de estos alcanz贸 un nivel excelente (91% y 89% respectivamente). Los resultados permitieron conocer que: la gesti贸n de cr茅dito se halla en un nivel regular con 71.17% al mismo tiempo el nivel hallado en la estructura de capital es intermedia con 71.17%; se comprob贸 relaci贸n significativa entre gesti贸n de cr茅dito con la estructura de capital (p-valor= .000; C尾= 0.576); asimismo existe relaci贸n significativa entre prevenci贸n (p-valor= .000; C尾= 0.673), cobranza (p-valor= .000; C尾= 0.585), recuperaci贸n (p-valor= .002; C尾= 0.411) y extinci贸n (p-valor= .000; C尾= 0.332). Concluyendo de esta manera que: el efecto ejercido por la gesti贸n del 谩rea de cr茅dito en la estructura de capital de una empresa de seguridad en Lima Metropolitana es de nivel significativo moderado
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